Implicit Model Selection Based on Variable Transformations in Estimation of Distribution.
Emanuele CorsanoDavide A. CucciLuigi MalagòMatteo MatteucciPublished in: LION (2012)
Keyphrases
- model selection
- parameter estimation
- cross validation
- error estimation
- selection criterion
- hyperparameters
- statistical learning
- machine learning
- regression model
- sample size
- mixture model
- variable selection
- bayesian learning
- statistical inference
- motion segmentation
- generalization error
- meta learning
- information criterion
- generalization bounds
- gaussian process
- model selection criteria
- random variables
- likelihood function
- bayesian methods
- marginal likelihood
- automatic model selection
- markov random field
- active learning
- image sequences
- feature selection